Background process

Known as: Background processes, Hidden process, Background 
A background process is a computer process that runs behind the scenes (i.e., in the background) and without user intervention. Typical tasks for… (More)
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Papers overview

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2010
2010
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial… (More)
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2007
2007
Hidden Markov chains (HMC) are widely applied in various problems occurring in different areas like Biosciences, Climatology… (More)
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Highly Cited
2005
Highly Cited
2005
  • 2005
Some central issues in discussions of creative processes in science are: (1) the mechanism(s) by which hypothesis formation takes… (More)
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Highly Cited
2005
Highly Cited
2005
We propose a Bayesian learning method to capture the background statistics of a dynamic scene. We model each pixel as a set of… (More)
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Highly Cited
2003
Highly Cited
2003
We propose a new model called a Pairwise Markov Chain (PMC), which generalizes the classical Hidden Markov Chain (HMC) model. The… (More)
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2003
2003
Hidden Markov Chain (HMC) models are widely used in various signal or image restoration problems. In such models, one considers… (More)
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Highly Cited
2000
Highly Cited
2000
ÐOur goal is to develop a visual monitoring system that passively observes moving objects in a site and learns patterns of… (More)
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Highly Cited
1999
Highly Cited
1999
A common method for real-time segmentation of moving regions in image sequences involves “background subtraction,” or… (More)
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Highly Cited
1999
Highly Cited
1999
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved… (More)
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Highly Cited
1986
Highly Cited
1986
Dynamic load balancing in a system of loosely-coupled homogeneous processors may employ both judicious initial placement of… (More)
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